Data Scientist

PAN-UNITED TECHNOLOGIES PTE. LTD.Singaporemycareersfutureoffentliggjort 10.11.2026
Skal:PythonJavaAI

Job Description:

  • Manage the day-to-day operations of the AIM team, providing technical guidance, coaching and mentoring to support project delivery and team development.
  • Collaborate with departments to understand business requirements and identify opportunities for data-driven decision-making.
  • Manage and perform data mining, engineering, modelling and visualisation using programming languages to transform raw data into actionable insights.
  • Develop and implement analytics solutions using data mining, machine learning and natural language processing (NLP) to analyse structured and unstructured datasets.
  • Develop and implement quality controls and departmental standards to meet organisational and regulatory requirements.
  • Manage analytics and information management risks and issues, escalating where necessary to the Group Head, IT.
  • Stay updated on emerging technologies and trends in analytics, AI and information management.
  • Collaborate with departments to develop data visualisation tools, interactive dashboards and dynamic reports to support business decision-making.
  • Prepare and deliver technical presentations to stakeholders, showcasing the company's solutions and services.
  • Develop and deliver product demonstrations and proof-of-concepts (POCs) to showcase the company's offerings.

Job Requirements:

  • Master's degree in Computer Science/ Information Technology or equivalent
  • Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
  • Proficient in a programming language (Python, Java, SQL)
  • Experience/Knowledge in Operation Research (OR) is would be an advantage
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Additional experience in data visualization and/or knowledge of reinforcement learning is a plus